Codebook

library(labelled)
library(codebook)
library(tidyverse)
knitr::opts_chunk$set(
  warning = FALSE, # show warnings during codebook generation
  message = FALSE, # show messages during codebook generation
  error = TRUE, # do not interrupt codebook generation in case of errors,
                # usually makes debugging easier, and sometimes half a codebook
                # is better than none
  echo = FALSE  # don't show the R code
)
ggplot2::theme_set(ggplot2::theme_bw())

Load data

Codebook

Metadata

Description

Dataset name: vcs

The dataset has N=2241 rows and 21 columns. 969 rows have no missing values on any column.

Metadata for search engines

• Date published: 2020-07-10

x voice_id dataset sex age f0 f1 f2 f3 f4 pf neuro extra openn agree consc dominance behavior attitude desire soi_full sex_c

#Variables

voice_id

Distribution

Distribution of values for voice_id

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
voice_id	numeric	0	1	1	1121	2241	1121	647.0653	▇▇▇▇▇	NA

dataset

Distribution

Distribution of values for dataset

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
dataset	numeric	0	1	1	4	11	4.531905	2.864653	▇▃▃▂▁	NA

sex

Sex

Distribution

Distribution of values for sex

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
sex	Sex	haven_labelled	0	1	-1	-1	1	-0.1726908	0.9851959	2	▇▁▁▁▁▁▁▆

Value labels

Response choices

name	value
male	1
female	-1

age

Age

Distribution

Distribution of values for age

137 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
age	Age	numeric	137	0.9388666	18	23	56	24.452	6.138718	▇▂▁▁▁

f0

Voice pitch

Distribution

Distribution of values for f0

7 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
f0	Voice pitch	numeric	7	0.9968764	-1.8	0.39	2.6	0	1	▇▂▇▆▁

f1

Distribution

Distribution of values for f1

4 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
f1	numeric	4	0.9982151	-2.2	0.043	6.3	0.0768794	0.933567	▃▇▁▁▁	NA

f2

Distribution

Distribution of values for f2

4 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
f2	numeric	4	0.9982151	-2.7	0.15	3.3	0.157386	0.6133858	▁▃▇▁▁	NA

f3

Distribution

Distribution of values for f3

4 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
f3	numeric	4	0.9982151	-2.3	0.17	3.2	0.0206923	0.9984842	▃▆▇▃▁	NA

f4

Distribution

Distribution of values for f4

4 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
f4	numeric	4	0.9982151	-2.8	0.23	4.5	0.0333869	0.999722	▂▆▇▁▁	NA

pf

Formants

Distribution

Distribution of values for pf

4 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
pf	Formants	numeric	4	0.9982151	-1.4	0.11	4	0.0720862	0.7185612	▆▇▃▁▁

neuro

Neuroticism

Distribution

Distribution of values for neuro

802 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
neuro	Neuroticism	numeric	802	0.6421241	-2.4	-0.076	2.6	0	1	▂▆▇▅▂

extra

Extraversion

Distribution

Distribution of values for extra

803 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
extra	Extraversion	numeric	803	0.6416778	-3.2	0.036	2.2	0	1	▁▃▇▇▃

openn

Openness

Distribution

Distribution of values for openn

802 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
openn	Openness	numeric	802	0.6421241	-4	0.072	2.1	0	1	▁▁▅▇▃

agree

Agreeableness

Distribution

Distribution of values for agree

802 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
agree	Agreeableness	numeric	802	0.6421241	-4.2	0.069	2.2	0	1	▁▁▅▇▃

consc

Conscientiousness

Distribution

Distribution of values for consc

802 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
consc	Conscientiousness	numeric	802	0.6421241	-3.6	0.084	2.2	0	1	▁▂▇▇▃

dominance

Dominance

Distribution

Distribution of values for dominance

1256 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
dominance	Dominance	numeric	1256	0.4395359	-3.8	0.037	2.7	0	1	▁▂▇▇▂

behavior

Distribution

Distribution of values for behavior

242 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
behavior	numeric	242	0.8920125	-1.1	-0.14	2.8	0	1	▇▃▃▂▁	NA

attitude

Distribution

Distribution of values for attitude

239 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
attitude	numeric	239	0.8933512	-2	0.13	1.4	0	1	▃▃▆▆▇	NA

desire

Distribution

Distribution of values for desire

238 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
desire	numeric	238	0.8937974	-1.8	0.0041	2.2	0	1	▅▆▇▆▂	NA

soi_full

Unrestricted sociosexuality

Distribution

Distribution of values for soi_full

243 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
soi_full	Unrestricted sociosexuality	numeric	243	0.8915663	-2.2	0.0072	2.7	0	1	▃▆▇▅▁

sex_c

Distribution

Distribution of values for sex_c

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
sex_c	numeric	0	1	-1	-1	1	-0.1726908	0.9851959	▇▁▁▁▆	NA

Missingness report

Codebook table

JSON-LD metadata

The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.

{
  "name": "vcs",
  "datePublished": "2020-07-10",
  "description": "The dataset has N=2241 rows and 21 columns.\n969 rows have no missing values on any column.\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n|name      |label                       | n_missing|\n|:---------|:---------------------------|---------:|\n|voice_id  |NA                          |         0|\n|dataset   |NA                          |         0|\n|sex       |Sex                         |         0|\n|age       |Age                         |       137|\n|f0        |Voice pitch                 |         7|\n|f1        |NA                          |         4|\n|f2        |NA                          |         4|\n|f3        |NA                          |         4|\n|f4        |NA                          |         4|\n|pf        |Formants                    |         4|\n|neuro     |Neuroticism                 |       802|\n|extra     |Extraversion                |       803|\n|openn     |Openness                    |       802|\n|agree     |Agreeableness               |       802|\n|consc     |Conscientiousness           |       802|\n|dominance |Dominance                   |      1256|\n|behavior  |NA                          |       242|\n|attitude  |NA                          |       239|\n|desire    |NA                          |       238|\n|soi_full  |Unrestricted sociosexuality |       243|\n|sex_c     |NA                          |         0|\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.3).",
  "keywords": ["voice_id", "dataset", "sex", "age", "f0", "f1", "f2", "f3", "f4", "pf", "neuro", "extra", "openn", "agree", "consc", "dominance", "behavior", "attitude", "desire", "soi_full", "sex_c"],
  "@context": "http://schema.org/",
  "@type": "Dataset",
  "variableMeasured": [
    {
      "name": "voice_id",
      "@type": "propertyValue"
    },
    {
      "name": "dataset",
      "@type": "propertyValue"
    },
    {
      "name": "sex",
      "description": "Sex",
      "value": "1. male,\n-1. female",
      "maxValue": 1,
      "minValue": -1,
      "@type": "propertyValue"
    },
    {
      "name": "age",
      "description": "Age",
      "@type": "propertyValue"
    },
    {
      "name": "f0",
      "description": "Voice pitch",
      "@type": "propertyValue"
    },
    {
      "name": "f1",
      "@type": "propertyValue"
    },
    {
      "name": "f2",
      "@type": "propertyValue"
    },
    {
      "name": "f3",
      "@type": "propertyValue"
    },
    {
      "name": "f4",
      "@type": "propertyValue"
    },
    {
      "name": "pf",
      "description": "Formants",
      "@type": "propertyValue"
    },
    {
      "name": "neuro",
      "description": "Neuroticism",
      "@type": "propertyValue"
    },
    {
      "name": "extra",
      "description": "Extraversion",
      "@type": "propertyValue"
    },
    {
      "name": "openn",
      "description": "Openness",
      "@type": "propertyValue"
    },
    {
      "name": "agree",
      "description": "Agreeableness",
      "@type": "propertyValue"
    },
    {
      "name": "consc",
      "description": "Conscientiousness",
      "@type": "propertyValue"
    },
    {
      "name": "dominance",
      "description": "Dominance",
      "@type": "propertyValue"
    },
    {
      "name": "behavior",
      "@type": "propertyValue"
    },
    {
      "name": "attitude",
      "@type": "propertyValue"
    },
    {
      "name": "desire",
      "@type": "propertyValue"
    },
    {
      "name": "soi_full",
      "description": "Unrestricted sociosexuality",
      "@type": "propertyValue"
    },
    {
      "name": "sex_c",
      "@type": "propertyValue"
    }
  ]
}`

Gender differences

Distributions by dataset

Age trends

## Warning: This plot can't be further modified with `ggplot2` functions.
## In case you want a `ggplot` object, set `marginal = FALSE`.

## Warning: This plot can't be further modified with `ggplot2` functions.
## In case you want a `ggplot` object, set `marginal = FALSE`.

## Warning: This plot can't be further modified with `ggplot2` functions.
## In case you want a `ggplot` object, set `marginal = FALSE`.

## Warning: This plot can't be further modified with `ggplot2` functions.
## In case you want a `ggplot` object, set `marginal = FALSE`.

## Warning: This plot can't be further modified with `ggplot2` functions.
## In case you want a `ggplot` object, set `marginal = FALSE`.

## Warning: This plot can't be further modified with `ggplot2` functions.
## In case you want a `ggplot` object, set `marginal = FALSE`.

## Warning: This plot can't be further modified with `ggplot2` functions.
## In case you want a `ggplot` object, set `marginal = FALSE`.

## Warning: This plot can't be further modified with `ggplot2` functions.
## In case you want a `ggplot` object, set `marginal = FALSE`.

## Warning: This plot can't be further modified with `ggplot2` functions.
## In case you want a `ggplot` object, set `marginal = FALSE`.

## Warning: This plot can't be further modified with `ggplot2` functions.
## In case you want a `ggplot` object, set `marginal = FALSE`.

Correlations

Correlations between sex, age, and voice parameters.

	sex_c	age	f0	pf	f1	f2	f3	f4
sex_c	1.00	0.20	-0.93	-0.78	-0.23	-0.64	-0.81	-0.82
age	0.20	1.00	-0.23	-0.04	0.06	0.00	-0.08	-0.08
f0	-0.93	-0.23	1.00	0.73	0.22	0.58	0.77	0.78
pf	-0.78	-0.04	0.73	1.00	0.61	0.80	0.92	0.90
f1	-0.23	0.06	0.22	0.61	1.00	0.26	0.34	0.30
f2	-0.64	0.00	0.58	0.80	0.26	1.00	0.74	0.71
f3	-0.81	-0.08	0.77	0.92	0.34	0.74	1.00	0.87
f4	-0.82	-0.08	0.78	0.90	0.30	0.71	0.87	1.00

Correlations between sex, age, and personality variables

	sex_c	age	neuro	extra	openn	agree	consc	dominance	behavior	attitude	desire	soi_full
sex_c	1.00	0.20	-0.26	-0.09	-0.01	-0.13	-0.12	-0.03	-0.01	0.18	0.31	0.21
age	0.20	1.00	-0.12	-0.04	0.05	0.09	0.15	-0.13	0.29	0.03	0.09	0.17
neuro	-0.26	-0.12	1.00	-0.23	-0.03	-0.20	-0.26	-0.33	-0.09	-0.08	-0.07	-0.10
extra	-0.09	-0.04	-0.23	1.00	0.26	0.12	0.22	0.51	0.21	0.07	0.05	0.15
openn	-0.01	0.05	-0.03	0.26	1.00	0.02	0.08	0.11	0.05	0.02	0.06	0.06
agree	-0.13	0.09	-0.20	0.12	0.02	1.00	0.23	-0.22	0.01	-0.10	-0.05	-0.06
consc	-0.12	0.15	-0.26	0.22	0.08	0.23	1.00	0.20	0.05	-0.14	-0.09	-0.08
dominance	-0.03	-0.13	-0.33	0.51	0.11	-0.22	0.20	1.00	0.13	0.13	0.02	0.13
behavior	-0.01	0.29	-0.09	0.21	0.05	0.01	0.05	0.13	1.00	0.47	0.31	0.76
attitude	0.18	0.03	-0.08	0.07	0.02	-0.10	-0.14	0.13	0.47	1.00	0.41	0.83
desire	0.31	0.09	-0.07	0.05	0.06	-0.05	-0.09	0.02	0.31	0.41	1.00	0.73
soi_full	0.21	0.17	-0.10	0.15	0.06	-0.06	-0.08	0.13	0.76	0.83	0.73	1.00

All correlations

	sex_c	age	f0	f1	f2	f3	f4	pf	neuro	extra	openn	agree	consc	dominance	behavior	attitude	desire	soi_full
sex_c	1.00	0.20	-0.93	-0.23	-0.64	-0.81	-0.82	-0.78	-0.26	-0.09	-0.01	-0.13	-0.12	-0.03	-0.01	0.18	0.31	0.21
age	0.20	1.00	-0.23	0.06	0.00	-0.08	-0.08	-0.04	-0.12	-0.04	0.05	0.09	0.15	-0.13	0.29	0.03	0.09	0.17
f0	-0.93	-0.23	1.00	0.22	0.58	0.77	0.78	0.73	0.27	0.06	-0.01	0.11	0.10	0.01	-0.03	-0.19	-0.31	-0.23
f1	-0.23	0.06	0.22	1.00	0.26	0.34	0.30	0.61	-0.03	0.09	0.07	-0.04	0.06	-0.02	-0.01	-0.11	-0.10	-0.09
f2	-0.64	0.00	0.58	0.26	1.00	0.74	0.71	0.80	0.12	0.09	0.01	0.14	0.16	-0.04	0.05	-0.19	-0.23	-0.16
f3	-0.81	-0.08	0.77	0.34	0.74	1.00	0.87	0.92	0.17	0.09	0.04	0.15	0.15	-0.03	0.03	-0.18	-0.23	-0.16
f4	-0.82	-0.08	0.78	0.30	0.71	0.87	1.00	0.90	0.21	0.06	0.01	0.12	0.12	-0.01	0.03	-0.16	-0.25	-0.16
pf	-0.78	-0.04	0.73	0.61	0.80	0.92	0.90	1.00	0.15	0.10	0.04	0.11	0.15	-0.03	0.03	-0.19	-0.25	-0.18
neuro	-0.26	-0.12	0.27	-0.03	0.12	0.17	0.21	0.15	1.00	-0.23	-0.03	-0.20	-0.26	-0.33	-0.09	-0.08	-0.07	-0.10
extra	-0.09	-0.04	0.06	0.09	0.09	0.09	0.06	0.10	-0.23	1.00	0.26	0.12	0.22	0.51	0.21	0.07	0.05	0.15
openn	-0.01	0.05	-0.01	0.07	0.01	0.04	0.01	0.04	-0.03	0.26	1.00	0.02	0.08	0.11	0.05	0.02	0.06	0.06
agree	-0.13	0.09	0.11	-0.04	0.14	0.15	0.12	0.11	-0.20	0.12	0.02	1.00	0.23	-0.22	0.01	-0.10	-0.05	-0.06
consc	-0.12	0.15	0.10	0.06	0.16	0.15	0.12	0.15	-0.26	0.22	0.08	0.23	1.00	0.20	0.05	-0.14	-0.09	-0.08
dominance	-0.03	-0.13	0.01	-0.02	-0.04	-0.03	-0.01	-0.03	-0.33	0.51	0.11	-0.22	0.20	1.00	0.13	0.13	0.02	0.13
behavior	-0.01	0.29	-0.03	-0.01	0.05	0.03	0.03	0.03	-0.09	0.21	0.05	0.01	0.05	0.13	1.00	0.47	0.31	0.76
attitude	0.18	0.03	-0.19	-0.11	-0.19	-0.18	-0.16	-0.19	-0.08	0.07	0.02	-0.10	-0.14	0.13	0.47	1.00	0.41	0.83
desire	0.31	0.09	-0.31	-0.10	-0.23	-0.23	-0.25	-0.25	-0.07	0.05	0.06	-0.05	-0.09	0.02	0.31	0.41	1.00	0.73
soi_full	0.21	0.17	-0.23	-0.09	-0.16	-0.16	-0.16	-0.18	-0.10	0.15	0.06	-0.06	-0.08	0.13	0.76	0.83	0.73	1.00

Correlations between sex, age, f0, and preregistered outcomes. Correlations above the diagonal are after partialling out effects of gender.

	sex_c	age	f0	dominance	extra	agree	behavior
sex_c	1.00	0.00	0.00	0.00	0.00	0.00	0.00
age	0.20	1.00	-0.12	-0.12	-0.03	0.11	0.30
f0	-0.93	-0.23	1.00	-0.04	-0.06	-0.02	-0.11
dominance	-0.03	-0.13	0.01	1.00	0.51	-0.23	0.13
extra	-0.09	-0.04	0.06	0.51	1.00	0.11	0.20
agree	-0.13	0.09	0.11	-0.22	0.12	1.00	0.01
behavior	-0.01	0.29	-0.03	0.13	0.21	0.01	1.00